intern software engineering Hardware Engineer ic Master's · Posted Apr 20, 2026

About this role

Nvidia is hiring a intern-level Hardware Engineer in the software engineering function based in Taipei, Taiwan. The posting calls out experience with Deep Learning. Listed education preference: a master's degree or equivalent.

Role
Hardware Engineer
Function
software engineering
Level
intern
Track
Individual contributor
Employment
Internship
Location
Taipei, Taiwan
Education
Master's degree
Posted
Apr 20, 2026
AI Summary
PCB Design Engineer intern performing high-speed, high-density PCB layout for NVIDIA's GPU and AI products. Requires Master's in Electronics Engineering, strong circuit theory, DC-DC power design, and SI/PI knowledge. Experience with Cadence Allegro and SI/PI simulation tools preferred.

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Job description

from Nvidia careers

By submitting your resume, you’re expressing interest in our 2026 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role.

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world.

We are now looking for a PCB Design Engineer – RDSS Intern. And we have a lot of training and research plans to guide the successful candidates to be the experts of PCB design and related areas. Join us at the forefront of technological advancement.

What you’ll be doing:

  • Working closely with product design engineers, you'll perform PCB layout of high speed/high-density value-conscious PCBs for all business units at NVIDIA (GPU Desktop, Notebook, Automotive, Professional, Data Center, Deep Learning, and AI).

  • Focus will be on the complete development of CAD layout from symbol creation, floor planning, and detailed component placement, constraints management, with a concept of topology and signal/power trace integrity.

    This is an excerpt. Read the full job description on Nvidia careers →
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